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    EMNLP
    2009
    143views Natural Language Processing» more  EMNLP 2009»
    A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression
    13 years 5 months ago
    A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression
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    This work introduces a model free approach to sentence compression, which grew out of ideas from Nomoto (2008), and examines how it compares to a state-of-art model intensive appr...
    Tadashi Nomoto
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    EMNLP
    2009
    109views Natural Language Processing» more  EMNLP 2009»
    Sentiment Analysis of Conditional Sentences
    13 years 5 months ago
    Sentiment Analysis of Conditional Sentences
    Download  www.cs.uic.edu
    This paper studies sentiment analysis of conditional sentences. The aim is to determine whether opinions expressed on different topics in a conditional sentence are positive, nega...
    Ramanathan Narayanan, Bing Liu, Alok N. Choudhary
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    EMNLP
    2009
    208views Natural Language Processing» more  EMNLP 2009»
    A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
    13 years 5 months ago
    A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
    Download  www.aclweb.org
    Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
    Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
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    EMNLP
    2009
    118views Natural Language Processing» more  EMNLP 2009»
    How well does active learning
    13 years 5 months ago
    How well does active learning
    Download  comp.ling.utexas.edu
    Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
    Jason Baldridge, Alexis Palmer
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    EMNLP
    2009
    136views Natural Language Processing» more  EMNLP 2009»
    Graphical Models over Multiple Strings
    13 years 5 months ago
    Graphical Models over Multiple Strings
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    We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
    Markus Dreyer, Jason Eisner
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    EMNLP
    2009
    133views Natural Language Processing» more  EMNLP 2009»
    Unsupervised Tokenization for Machine Translation
    13 years 5 months ago
    Unsupervised Tokenization for Machine Translation
    Download  www.cs.rochester.edu
    Training a statistical machine translation starts with tokenizing a parallel corpus. Some languages such as Chinese do not incorporate spacing in their writing system, which creat...
    Tagyoung Chung, Daniel Gildea
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    EMNLP
    2009
    144views Natural Language Processing» more  EMNLP 2009»
    Cube Pruning as Heuristic Search
    13 years 5 months ago
    Cube Pruning as Heuristic Search
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    Mark Hopkins, Greg Langmead
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    EMNLP
    2009
    123views Natural Language Processing» more  EMNLP 2009»
    A Probabilistic Model for Associative Anaphora Resolution
    13 years 5 months ago
    A Probabilistic Model for Associative Anaphora Resolution
    Download  www.aclweb.org
    This paper proposes a probabilistic model for associative anaphora resolution in Japanese. Associative anaphora is a type of bridging anaphora, in which the anaphor and its antece...
    Ryohei Sasano, Sadao Kurohashi
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    EMNLP
    2009
    119views Natural Language Processing» more  EMNLP 2009»
    Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus
    13 years 5 months ago
    Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus
    Download  www.aclweb.org
    Sentiment analysis often relies on a semantic orientation lexicon of positive and negative words. A number of approaches have been proposed for creating such lexicons, but they te...
    Saif Mohammad, Cody Dunne, Bonnie J. Dorr
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    EMNLP
    2009
    100views Natural Language Processing» more  EMNLP 2009»
    Fast Translation Rule Matching for Syntax-based Statistical Machine Translation
    13 years 5 months ago
    Fast Translation Rule Matching for Syntax-based Statistical Machine Translation
    Download  aclweb.org
    In a linguistically-motivated syntax-based translation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence d...
    Hui Zhang, Min Zhang, Haizhou Li, Chew Lim Tan
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